Senior Data Engineer at Goodwin enhancing data platforms and fostering data - driven culture across teams. Collaborating with IT and Finance on technology solutions and data governance practices.
About the role
- Data Engineer designing and maintaining scalable data solutions in GCP and Snowflake environments. Collaborating with clients and stakeholders to ensure data quality and functionality.
Responsibilities
- Design, develop, test, and maintain data pipelines and ETL/ELT processes using GCP and Snowflake.
- Implement data ingestion, transformation, and storage solutions for structured, semi-structured, and unstructured data.
- Build and optimize batch, micro-batch, and real-time data pipelines.
- Support data migration from legacy systems to cloud platforms (GCP, Snowflake).
- Collaborate with business and technical stakeholders to translate requirements into scalable data solutions.
- Work with GCP services such as BigQuery, Cloud SQL, Cloud Spanner, and Cloud Bigtable.
- Integrate data from various sources and support data platform development.
- Ensure data quality by implementing validation rules, testing frameworks, and monitoring solutions.
- Work closely with security teams to ensure data protection, access control, and compliance.
- Support development of data models and schemas for analytics and reporting.
- Contribute to CI/CD processes, version control, and infrastructure automation (e.g., Git, Terraform).
- Collaborate with data scientists, analysts, and engineers to support data-driven use cases.
Requirements
- 5+ years of experience in Data Engineering or similar role.
- 2+ years of experience working with GCP or similar cloud platforms (AWS, Azure).
- Hands-on experience with GCP managed data services (e.g., BigQuery, Cloud SQL, Cloud Spanner, Cloud Bigtable).
- Experience working with Snowflake.
- Strong knowledge of SQL and experience with data transformation tools (e.g., DBT or similar).
- Proficiency in Python for data processing and scripting.
- Experience with ETL/ELT processes and data pipeline development.
- Experience working with structured, semi-structured, and unstructured data.
- Familiarity with data orchestration tools (e.g., Airflow, Dagster or similar).
- Experience with version control (Git) and CI/CD practices.
- Experience with Infrastructure as Code (e.g., Terraform, Ansible, or similar).
- Strong analytical, problem-solving, and troubleshooting skills.
- Excellent written and verbal communication skills in English.
- Experience in a client-facing or consulting environment is a plus.
Benefits
- Work in a supportive team of passionate enthusiasts of AI & Big Data.
- Engage with top-tier global enterprises and cutting-edge startups on international projects.
- Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
- Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
- Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
- Participate in team-building events and utilize the integration budget.
- Celebrate work anniversaries, birthdays, and milestones.
- Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
- Get full work equipment for optimal productivity, including a laptop and other necessary devices.
- Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
Tech skills
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